AI correctly predicted the Fortune win.
The match finished 1–0, validating the model's directional assessment.
Tracked markets vs full-time result
Each row compares the pre-match model lean to the full-time result.
- Market Prediction Result Outcome
- Over / Under 2.5 Under 2.5 Under 2.5 (1 goals) ✔ Correct
- Both Teams To Score BTTS No No ✔ Correct
- 1X2 Fortune Fortune ✔ Correct
- Correct Score Insights 1-0, 0-0, 1-1, 0-1, 2-0 1-0 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Fortune | 41.5% | 53.0% | -11.5 pp | Market Higher |
| Draw | 33.9% | 29.3% | +4.6 pp | Aligned |
| Steve Biko | 24.6% | 17.7% | +6.9 pp | Model Higher |
The closing market estimates Fortune's win probability at 53.0%, compared with the model's estimate of 41.5%, a difference of 11.5 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.
Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.
After full time, the model's directional lean matched the result (Fortune win 1–0).
Market Assessment
The market is materially more optimistic about Fortune than the current fair estimate.
- Investors may be incorporating information not fully reflected in the baseline model.
- Tournament-specific context can shift market pricing.
Post Match Insights
What worked
- Low-scoring profile materialised (ΣxG 1.88, 1 goals)
- Both Teams To Score (No) matched the full-time result
- Under 2.5 goals aligned with the xG profile
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Fortune higher (53.0% vs model 41.5%, 11.5 pp), but the model's lean was validated (Fortune win 1–0).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Jun 22, 2026 · 19:22 UTC Forecast generated
- Model 1X2 · Fortune 41.5% · Draw 33.9% · Steve Biko 24.6%
- xG · Fortune 1.02 — Steve Biko 0.86
-
Jun 22, 2026 · 15:59 UTC Opening odds snapshot PRE30
- 1X2 odds · Fortune 1.68 · Draw 3.04 · Steve Biko 5.02
- Implied 1X2 · Fortune 53.0% · Draw 29.3% · Steve Biko 17.7%
- Bookmaker · Pinnacle
-
Jun 22, 2026 · 16:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Fortune 1.68 · Draw 3.04 · Steve Biko 5.02
- Implied 1X2 · Fortune 53.0% · Draw 29.3% · Steve Biko 17.7%
- Bookmaker · Pinnacle
-
Jun 22, 2026 · 16:30 UTC Kickoff
-
FT Full-time result Fortune win · 1–0
-
FT Prediction validated Directional lean matched full-time result
-
Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Warning
- Large market gap (11 pp)
- No strong statistical edge
- Market has already priced much of the edge
- Validation warning
Validation Report
Immutable SnapshotModel Performance
This prediction contributes to:
- Primary Bets ROI (180d): -100.0%
Review FAQ
- How accurate was the prediction?
- This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
- What does xG Accuracy measure?
- xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
- Why wasn't the exact score predicted?
- Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
- Does this improve the AI record?
- Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.
Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.
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GFA League — Standings
| # | TEAM | MP | W | D | L | PTS |
|---|---|---|---|---|---|---|
| 1 | Medina United | 28 | 14 | 6 | 8 | 48 |
| 2 | Fortune | 28 | 12 | 11 | 5 | 47 |
| 3 | Bombada | 28 | 11 | 11 | 6 | 44 |
| 4 | GPA | 28 | 11 | 11 | 6 | 44 |
| 5 | Brikama United | 28 | 11 | 9 | 8 | 42 |
| 6 | Real de Banjul | 28 | 9 | 14 | 5 | 41 |
| 7 | Team Rhino | 28 | 9 | 10 | 9 | 37 |
| 8 | Hart Acedemy | 28 | 8 | 11 | 9 | 35 |
| 9 | Dutch Lions | 28 | 7 | 12 | 9 | 33 |
| 10 | BST Galaxy | 28 | 7 | 12 | 9 | 33 |
| 11 | Hawks | 28 | 7 | 10 | 11 | 31 |
| 12 | Falcons | 28 | 6 | 13 | 9 | 31 |
| 13 | Greater Tomorrow | 28 | 7 | 10 | 11 | 31 |
| 14 | Steve Biko | 28 | 5 | 14 | 9 | 29 |
| 15 | TMT | 28 | 6 | 11 | 11 | 29 |
| 16 | Samger | 28 | 5 | 13 | 10 | 28 |
| # | TEAM | MP | GS | GC | +/- | PTS |
|---|---|---|---|---|---|---|
| 1 | Bombada | 28 | 34 | 26 | +8 | 44 |
| 2 | Brikama United | 28 | 33 | 27 | +6 | 42 |
| 3 | Hart Acedemy | 28 | 32 | 31 | +1 | 35 |
| 4 | Fortune | 28 | 31 | 21 | +10 | 47 |
| 5 | Medina United | 28 | 31 | 24 | +7 | 48 |
| 6 | Dutch Lions | 28 | 29 | 28 | +1 | 33 |
| 7 | Real de Banjul | 28 | 28 | 21 | +7 | 41 |
| 8 | Team Rhino | 28 | 25 | 23 | +2 | 37 |
| 9 | BST Galaxy | 28 | 24 | 31 | -7 | 33 |
| 10 | Steve Biko | 28 | 23 | 26 | -3 | 29 |
| 11 | Hawks | 28 | 23 | 29 | -6 | 31 |
| 12 | GPA | 28 | 22 | 17 | +5 | 44 |
| 13 | Greater Tomorrow | 28 | 22 | 32 | -10 | 31 |
| 14 | Samger | 28 | 20 | 25 | -5 | 28 |
| 15 | TMT | 28 | 17 | 27 | -10 | 29 |
| 16 | Falcons | 28 | 16 | 22 | -6 | 31 |
